Chemical communication in plant-microbiome and intra-microbiome interactions weaves a complex network, critically shaping ecosystem stability and agricultural productivity. This non-contact interaction is driven by small-molecule signals that orchestrate crosstalk dynamics and beneficial association. Plants leverage these signals to distinguish between pathogens and beneficial microbes, dynamically modulate immune responses, and secrete exudates to recruit a beneficial microbiome, while microbes in turn influence plant nutrient acquisition and stress resilience. Such bidirectional chemical dialogues underpin nutrient cycling, co-evolution, microbiome assembly, and plant resistance. However, knowledge gaps persist regarding validating the key molecules involved in plant-microbe interactions. Interpreting chemical communication requires multi-omics integration to predict key information, genome editing and click chemistry to verify the function of biomolecules, and artificial intelligence (AI) models to improve resolution and accuracy. This review helps advance the understanding of chemical communication and provides theoretical support for agriculture to cope with food insecurity and climate challenges.
Microbiota/physiology* ; Plants/microbiology* ; Artificial Intelligence ; Ecosystem

Objective To analyze the change of healthcare quality after the Diagnosis-Intervention Packet(DIP)payment system reform and provide evidence for improving payment system reform in China.Methods It collected discharge records of hospitalized patients with employee basic medical insurance scheme in first DIP pilot hospitals of a city from July 2017 to June 2021.It included three death-related measures and two readmission-related mea-sures,which were all risk-adjusted considering the patient mix.It used t test to compare their differences before and after the DIP reform in July 2019.Results After the risk-adjustment,mortality rate of surgical patients,mortality rate of patients in low-risk DIP groups,all-cause readmission rate within 30 days after discharge and readmission rate with the same principal diagnosis within 30 days after discharge declined 0.06 percentage points(P=0.031),0.15 percentage points(P=0.001),0.47 percentage points(P＜0.001)and 0.72 percentage points(P＜0.001),respectively.Conclusion No current evidences indicated negative impacts of the DIP payment reform on the quality of healthcare in the city.Case-based payment pilot cities should closely monitor the change of healthcare quality after the reform.